QMill Introduces AI Service for Quantum Circuit Compression

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Insider Brief

  • QMill has launched QMill Circuit Compression, an AI-powered service that reduces quantum circuit gate counts and depth, and is showcasing it at Slush 2025.
  • The service enables 20–50% circuit compression across multiple vendors’ gate sets, improving fidelity and execution reliability on current NISQ hardware.
  • QMill’s release follows recent record-breaking compression results with IBM, Rigetti, and IonQ gate sets, reflecting rapid translation of research into a deployed product.
  • Photo from Pixels by Pachon in Motion

PRESS RELEASE — QMill, a pioneering quantum algorithm and software company based in Espoo, Finland, has launched QMill Circuit Compression, an AI-powered service that makes it easy to compress, run, and compare quantum circuits. QMill is demonstrating the new service at the world’s leading startup event Slush 2025 in Helsinki this week.

Time to real-world quantum advantage will be shortened through intense parallel development of both quantum hardware and software. One of the key factors in the current noisy intermediate-scale quantum (NISQ) computers is the number of gates that a device can run smoothly. In the near-term, the number of gates is still very limited. Any enhancement to the quantum programs, or circuits, matters as every additional gate is a potential victim of noise, increasing the risk of errors.

“Our mission at QMill is to bring the moment of practical quantum advantage closer in time so that different industries can start benefiting from the power of quantum computing as soon as possible. By compressing circuits, users can achieve higher fidelity, faster runtimes, and more reliable execution which are critical improvements from the perspective of today’s hardware,” says Hannu Kauppinen, CEO and Co-Founder at QMill.

Introducing TQI 2.0Introducing TQI 2.0

By launching the QMill Circuit Compression service for researchers and developers, QMill is offering its record-breaking AI circuit compression method to benefit the entire quantum computing ecosystem in their efforts to make better use of current quantum hardware. The service helps users to reduce gate count and circuit depth typically by 20-50 percent.

“Our team has recently achieved record-breaking levels in circuit compression with the help of an AI-powered method across various vendors’ gate sets. This is one of those cases where you suddenly realize you have fantastic research results in hand and recognize their usefulness. I think that the speed at which we have turned our research results into a product is another record in itself. This achievement gives us further confidence as we continue developing our wider portfolio,” says Mikko Möttönen, Chief Scientist and Co-Founder at QMill.

“We are immensely proud of QMill Circuit Compression, our first product. The QMill team has done an incredible job. We are actively using QMill Circuit Compression internally and excited to deepen our engagement with customers. So far, initial discussions have generated very positive traction – an easy-to-use service with tangible benefits is a highly anticipated outcome,” says Janne Heikkinen, Chief Product Officer at QMill.

In October, QMill celebrated a world record performance in circuit compression with IBM gate sets, cutting the number of gates in a circuit by up to half. More recently, QMill shared further records on other vendors’ gate sets including Rigetti and IonQ. QMill is continually adding more gate sets, such as those from IQM and Quantinuum.

QMill is demonstrating its QMill Circuit Compression service at the Slush 2025 conference (Booth #D8) in Helsinki this week during November 19–20.

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Mohib Ur Rehman

Covering quantum and emerging technologies, Mohib explores the intersection of technology, security, and society. His work also frequently examines surveillance infrastructure and the institutions shaping the digital world. In addition to his work at The Quantum Insider, he co-runs SK NEXUS, an independent technology publication that helps readers understand the technologies shaping their lives.

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